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Published in 2018 at "Journal of Applied Mathematics and Computing"
DOI: 10.1007/s12190-017-1156-6
Abstract: This paper aims to extend the conjugate gradient least squares method to solve the least squares problem of the generalized Sylvester-conjugate matrix equation. For any initial values, the proposed iterative method can obtain the least…
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Keywords:
conjugate matrix;
algorithm;
iterative algorithm;
matrix equation ... See more keywords
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Published in 2020 at "Linear Algebra and its Applications"
DOI: 10.1016/j.laa.2020.02.018
Abstract: The governing equation of the stochastic Galerkin method can be formulated as a generalized Sylvester equation. Therefore, developing solvers for it is attracting a lot of attention from the uncertainty quantification community. In this regard…
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Keywords:
backward error;
generalized sylvester;
stochastic galerkin;
equation ... See more keywords
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Published in 2020 at "Symmetry"
DOI: 10.3390/sym12111831
Abstract: We propose a new iterative method for solving a generalized Sylvester matrix equation A1XA2+A3XA4=E with given square matrices A1,A2,A3,A4 and an unknown rectangular matrix X. The method aims to construct a sequence of approximated solutions…
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Keywords:
iterative method;
matrix equation;
matrix;
method ... See more keywords
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Published in 2022 at "Symmetry"
DOI: 10.3390/sym14091868
Abstract: We derive a conjugate-gradient type algorithm to produce approximate least-squares (LS) solutions for an inconsistent generalized Sylvester-transpose matrix equation. The algorithm is always applicable for any given initial matrix and will arrive at an LS…
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Keywords:
squares solutions;
conjugate gradient;
algorithm;
matrix equation ... See more keywords